Yun Wang

2.8k total citations · 1 hit paper
112 papers, 1.9k citations indexed

About

Yun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yun Wang has authored 112 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Biomedical Engineering and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yun Wang's work include Advanced X-ray and CT Imaging (20 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Cardiac Imaging and Diagnostics (12 papers). Yun Wang is often cited by papers focused on Advanced X-ray and CT Imaging (20 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Cardiac Imaging and Diagnostics (12 papers). Yun Wang collaborates with scholars based in China, United States and United Kingdom. Yun Wang's co-authors include Jianhua Zhou, Yini Huang, Yubo Liu, Xueyi Zheng, Rushuang Mao, Fei Li, Yixin Hu, Yuanyuan Wang, Jinhua Yu and Yao Zhao and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Yun Wang

103 papers receiving 1.9k citations

Hit Papers

Deep learning radiomics can predict axillary lymph node s... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Yun Wang
Comparison fields: 5 of 148
  • Radiology, Nuclear Medicine and Imaging 776
  • Biomedical Engineering 444
  • Molecular Biology 329
  • Pulmonary and Respiratory Medicine 268
  • Artificial Intelligence 266
Replace Tsuyoshi Nakagawa with:
Tsuyoshi Nakagawa Japan
Ying Zhuge United States
Richard G. Abramson United States
Sergios Gatidis Germany
Tommaso Vincenzo Bartolotta Italy
Shuixing Zhang China
Yuhao Dong China
Shiyuan Liu China
Xiaoying Wang China
Ansgar Malich Germany
Tsuyoshi Nakagawa Japan View profile →
Citations per field, relative to Yun Wang
Yun Wang · 1×
Citations per year, relative to Yun Wang
Yun Wang · 1×

Countries citing papers authored by Yun Wang

Since Specialization
Citations

This map shows the geographic impact of Yun Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Wang more than expected).

Fields of papers citing papers by Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yun Wang. The network helps show where Yun Wang may publish in the future.

Co-authorship network of co-authors of Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wang. A scholar is included among the top collaborators of Yun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Wang. Yun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 12
5 6
6 1
7 2
8 1
9 5
10 15
11 18
12 22
13 13
14
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer breakdown →
402
15 5
16 17
17 2
18 0
19
Trends in use and yield of chest computed tomography with angiography for diagnosis of pulmonary embolism in a Connecticut hospital emergency department.
54
20 10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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